Xu Sun
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Molecular Biology
- Co-authors
- Xuancheng RenJie ZhouYankai LinDeli ChenWei LiPeng LiJingjing XuHangfeng He
- Topics
- Topic Modeling (76 papers)Natural Language Processing Techniques (55 papers)Multimodal Machine Learning Applications (35 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xu Sun
112 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 934
- Information Systems 443
- Management Science and Operations Research 187
- Molecular Biology 169
Countries citing papers authored by Xu Sun
This map shows the geographic impact of Xu Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Sun more than expected).
Fields of papers citing papers by Xu Sun
This network shows the impact of papers produced by Xu Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xu Sun. The network helps show where Xu Sun may publish in the future.
Co-authorship network of co-authors of Xu Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Xu Sun. A scholar is included among the top collaborators of Xu Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xu Sun. Xu Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 46 | |
| 5 | 61 | |
| 6 | Prophet Attention: Predicting Attention with Future Attention | 17 |
| 7 | 98 | |
| 8 | 21 | |
| 9 | 11 | |
| 10 | 29 | |
| 11 | Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning. | 1 |
| 12 | Deconvolution-Based Global Decoding for Neural Machine Translation | 3 |
| 13 | Building an Ellipsis-aware Chinese Dependency Treebank for Web Text | 1 |
| 14 | 82 | |
| 15 | 33 | |
| 16 | Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure | 16 |
| 17 | Structure Regularization for Structured Prediction | 27 |
| 18 | 32 | |
| 19 | Learning Phrase-Based Spelling Error Models from Clickthrough Data | 34 |
| 20 | A Large Scale Ranker-Based System for Search Query Spelling Correction | 74 |
About Xu Sun
Xu Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include Topic Modeling (76 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (35 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (934 citations) and Information Systems (443 citations). Xu Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xuancheng Ren, Jie Zhou, Yankai Lin, Deli Chen, Wei Li, Peng Li, Jingjing Xu, Hangfeng He, Houfeng Wang and Junyang Lin. Their work appears in journals such as Information Sciences, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.